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Bluecore is transforming how eCommerce marketers use data & automation to connect w/ customers.
 
New York City    Posted: Tuesday, November 20, 2018
 
   
 
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Bluecore is an 500 high-growth marketing technology company.  Bluecore has been recognized as one of the Best Places to Work by Glassdoor & is ranked No. 241 on the 500 List, the most prestigious ranking of the nation's fastest-growing private companies. Our Retail Performance Cloud, specializing in artificial intelligence - based workflows. Our unique ability to leverage machine learning to match customer data with real-time product & behavior enables brands to build intelligent, marketing communications & personalized campaigns in seconds vs. days. More than 400 retail brands, including Staples, Perry Ellis, Teleflora, Tommy Hilfiger, & Best Buy Canada, increase their performance with less effort leveraging our products.

Bluecore's Data Insights & Strategy team have two key focuses - First to deliver custom deep dive analysis to our largest enterprise clients, & second to productize & scale the most relevant insights so that they can be delivered to hundreds of clients.  As an Insights Analyst on the team, your job would be to mine, explore, & analyze terabytes of behavioral data & digital marketing engagement data from across 300+ retail brands to discover & deliver insights & strategy for our clients.

We're looking for a highly motivated data analyst with a strong technical background & a knack for interpreting & communicating the why” behind data & its application to business.  We are looking for candidates with fluency in SQL, Python, & Excel, who enjoys & appreciates creative thinking, relentlessly digging into data, & turning the results into clearly communicated & compelling strategies. You'll be working closely with the other analysts & strategists on the Insights team, as well as Bluecore's customer success & sales teams to deliver insights to our clients.  You will be responsible for discovering, solving, & communicating the business problems that our brands face & working with our engineering teams to create automated solutions.
 
 
 
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